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DNA Publishing
Mastering AI: Building AI Applications with Python:
Mastering AI: Building AI Applications with Python:
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$36.99 USD
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$36.99 USD
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Artificial Intelligence (AI) has been rapidly transforming industries across the globe, from healthcare and finance to retail and entertainment. It powers a broad spectrum of applications, including intelligent chatbots, personalized recommendations, autonomous vehicles, and even creative tools like AI-generated art and music.
For developers and programmers, learning how to build AI applications has become an essential skill. With Python, one of the most versatile and widely used programming languages, creating AI systems is more accessible than ever before. Python boasts a range of powerful libraries and frameworks, such as TensorFlow, PyTorch, and Scikit-Learn, that make it easier to implement machine learning and deep learning models.
This book is designed to help you get hands-on experience in building real-world AI applications using Python. Throughout this guide, you'll learn how to leverage popular AI libraries, work with datasets, and build projects like chatbots, recommendation systems, and image classifiers. We'll also dive into best practices for handling data, optimizing models, and deploying AI applications.
By the end of this book, you'll have a strong foundation in AI development, and you'll be ready to apply these skills to solve real-world problems.
For developers and programmers, learning how to build AI applications has become an essential skill. With Python, one of the most versatile and widely used programming languages, creating AI systems is more accessible than ever before. Python boasts a range of powerful libraries and frameworks, such as TensorFlow, PyTorch, and Scikit-Learn, that make it easier to implement machine learning and deep learning models.
This book is designed to help you get hands-on experience in building real-world AI applications using Python. Throughout this guide, you'll learn how to leverage popular AI libraries, work with datasets, and build projects like chatbots, recommendation systems, and image classifiers. We'll also dive into best practices for handling data, optimizing models, and deploying AI applications.
By the end of this book, you'll have a strong foundation in AI development, and you'll be ready to apply these skills to solve real-world problems.
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